Weka

2017年7月7日 (五) 02:26的最后版本

您可以在Wikipedia上了解到此条目的英文信息 Weka Thanks, Wikipedia.

Weka - Open Source Data Mining

Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.

[编辑] 简介

Weka: Machine learning software to solve data mining problems

[编辑] 指南

[编辑] 项目

Weka Related Projects

MOA - Massive Online Analysis
Meka: A Multi-label Extension to Weka
OpenSubspace: Weka Subspace-Clustering Integration
Auto-WEKA
Weka on Spark
Matlab Weka Interface
Weka Packages
wekaDeeplearning4jCPU: Weka wrappers for Deeplearning4j

[编辑] 中文化

[编辑] 文档

[编辑] 书籍

数据挖掘:实用机器学习工具与技术(原书第3版)

[编辑] 图集

数据挖掘
包管理器

[编辑] 链接

@@ 第1行： / 第1行： @@
+{{SeeWikipedia|Weka (machine learning)}}
 [[Image:weka.gif|right]]
 Weka - Open Source Data Mining
@@ 第4行： / 第6行： @@
 Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.
-==Links==
+==简介==
-*http://www.cs.waikato.ac.nz/~ml/
+Weka: [[Machine learning]] software to solve data mining problems
-*http://sourceforge.net/projects/weka/
-*http://docs.huihoo.com/weka/
+==指南==
-*http://docs.huihoo.com/javadoc/weka/
-*http://download.huihoo.com/weka/
+==项目==
+[http://weka.wikispaces.com/Related+Projects Weka Related Projects]
+*[[massive online analysis|MOA - Massive Online Analysis]]
+*[http://meka.sourceforge.net/ Meka]: A Multi-label Extension to Weka
+*[http://dme.rwth-aachen.de/en/OpenSubspace OpenSubspace]: Weka Subspace-Clustering Integration
+*[http://www.cs.ubc.ca/labs/beta/Projects/autoweka/ Auto-WEKA]
+*[https://github.com/ariskk/distributedWekaSpark Weka on Spark]
+*[https://www.mathworks.com/matlabcentral/fileexchange/21204-matlab-weka-interface Matlab Weka Interface]
+*[http://weka.sourceforge.net/packageMetaData/ Weka Packages]
+*[http://weka.sourceforge.net/packageMetaData/wekaDeeplearning4jCPU/index.html wekaDeeplearning4jCPU]: Weka wrappers for [[Deeplearning4j]]
+==中文化==
+==文档==
+*[http://docs.huihoo.com/weka/WEKA%E5%AE%8C%E6%95%B4%E4%B8%AD%E6%96%87%E6%95%99%E7%A8%8B.pdf WEKA完整中文教程]
+*[http://docs.huihoo.com/weka/weka.ppt Machine Learning with WEKA]
+==书籍==
+*[https://www.amazon.cn/%E6%95%B0%E6%8D%AE%E6%8C%96%E6%8E%98-%E5%AE%9E%E7%94%A8%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%B7%A5%E5%85%B7%E4%B8%8E%E6%8A%80%E6%9C%AF-%E5%A8%81%E6%BB%95/dp/B00K5I91WK/ 数据挖掘:实用机器学习工具与技术(原书第3版)]
+==图集==
+<gallery>
+image:weka-book.jpg|数据挖掘
+image:weka-package-manager.png|包管理器
+</gallery>
+==链接==
+*[http://www.cs.waikato.ac.nz/~ml/ Weka官网]
+*[http://sourceforge.net/projects/weka/ Weka下载]
+*[http://docs.huihoo.com/weka/ Weka文档]
+*[http://docs.huihoo.com/javadoc/weka/ Weka Javadoc]
+*[http://wiki.pentaho.com/display/DATAMINING/Pentaho+Data+Mining+Community+Documentation Pentaho Data Mining Community Documentation]
+[[category:business intelligence]]
+[[category:pentaho]]
+[[category:data mining]]
+[[category:machine learning]]
+[[category:data science]]
+[[category:java]]
+[[category:huihoo]]